scholarly journals My Cat and Me—A Study of Cat Owner Perceptions of Their Bond and Relationship

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1601
Author(s):  
Mauro Ines ◽  
Claire Ricci-Bonot ◽  
Daniel S. Mills
Keyword(s):  
Social Support ◽  
Principal Component Analysis ◽  
Social Relationship ◽  
Principal Component ◽  
Emotional Relationships ◽  
Different Types ◽  
Open Relationship ◽  
Remote Association ◽  
Personality Features ◽  
Casual Relationship

Cats form close emotional relationships with humans, yet little is known about this. This study characterized different types of relationship that cats might establish with their owners. Data were analyzed from 3994 responses to a questionnaire developed using expressions of social support and attachment in relation to everyday cat–owner interactions. Principal component analysis reduced the items to four factors: the “owner’s emotional investment in the cat”, “cat’s acceptance of others”, “cat’s need for owner proximity” and “cat’s aloofness”. Cluster identified three groups of owners with two of these each sub-divided into two. The “open relationship bond” was characterized by a lightly emotionally invested owner and an avoidant cat. The “remote association” and “casual relationship” were characterized by an emotionally remote owner but differed in the cat’s acceptance of others. The “co-dependent” and “friendship” relationship were characterized by an emotionally invested owner but differed in the cat’s acceptance of others and need to maintain owner proximity. In conclusion, as with any complex social relationship, the type of cat–owner bond that develops is the product of the dynamic that exists between both the individuals involved, along with certain personality features, of which, the wider sociability of the cat and owner expectations may be particularly important.

A Study on Utilization of Three-Dimensional Sensor Lip Image for Developing a Pronunciation Recognition System

2019 ◽  
Vol 63 (5) ◽  
pp. 50402-1-50402-9 ◽  
Author(s):  
Ing-Jr Ding ◽  
Chong-Min Ruan
Keyword(s):  
Principal Component Analysis ◽  
Automatic Speech Recognition ◽  
Feature Fusion ◽  
Three Dimensional ◽  
Principal Component ◽  
Recognition System ◽  
Geometrical Characteristics ◽  
3D Geometry ◽  
Different Types ◽  
The Disabled

Abstract The acoustic-based automatic speech recognition (ASR) technique has been a matured technique and widely seen to be used in numerous applications. However, acoustic-based ASR will not maintain a standard performance for the disabled group with an abnormal face, that is atypical eye or mouth geometrical characteristics. For governing this problem, this article develops a three-dimensional (3D) sensor lip image based pronunciation recognition system where the 3D sensor is efficiently used to acquire the action variations of the lip shapes of the pronunciation action from a speaker. In this work, two different types of 3D lip features for pronunciation recognition are presented, 3D-(x, y, z) coordinate lip feature and 3D geometry lip feature parameters. For the 3D-(x, y, z) coordinate lip feature design, 18 location points, each of which has 3D-sized coordinates, around the outer and inner lips are properly defined. In the design of 3D geometry lip features, eight types of features considering the geometrical space characteristics of the inner lip are developed. In addition, feature fusion to combine both 3D-(x, y, z) coordinate and 3D geometry lip features is further considered. The presented 3D sensor lip image based feature evaluated the performance and effectiveness using the principal component analysis based classification calculation approach. Experimental results on pronunciation recognition of two different datasets, Mandarin syllables and Mandarin phrases, demonstrate the competitive performance of the presented 3D sensor lip image based pronunciation recognition system.

scholarly journals The Association of Parental Interest in Entrepreneurship to the Entrepreneurial Interest of Spanish Youth

2020 ◽  
Author(s):  
Isabel Luis-Rico ◽  
M. Camino Escolar-Llamazares ◽  
Tamara De la Torre-Cruz ◽  
Álvaro Herrero ◽  
Carmen Palmero-Cámara ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Young People ◽  
Principal Component ◽  
Causal Factor ◽  
Family Influence ◽  
Entrepreneurial Ecosystem ◽  
Entrepreneurship Research ◽  
Family Culture ◽  
Family Types ◽  
Different Types

As entrepreneurial interest is believed to represent a causal factor increasing entrepreneurship, research has begun to explore how family systems affect youth entrepreneurial interests. In the present study, we attempt to identify different types of family influence on the entrepreneurial interests of young people. A questionnaire was used to obtain data from 1,633 Spanish youths, who were 15 to 18 years old, and another questionnaire was used to obtain data from 839 parents. Principal Component Analysis identified unique family types and revealed that they have differential associations to entrepreneurial interest among youths. These findings reaffirm the influence of family on the entrepreneurial ecosystem and the promotion of an entrepreneurial family cuture. This study further suggests that early attention should focus on the detection of entrepreneurial interest among youths so that actions can be implemented in the families of low-interest youths to incentivize an entrepreneurial family culture.

scholarly journals Evaluation of the Quality of Chinese and Vietnamese Cassia Using LC-MS and Multivariate Analysis

2013 ◽  
Vol 8 (1) ◽  
pp. 1934578X1300800
Author(s):  
Ken Tanaka ◽  
Feng Li ◽  
Yasuhiro Tezuka ◽  
Shiro Watanabe ◽  
Nobuo Kawahara ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Multivariate Analysis ◽  
Chemical Composition ◽  
Herbal Medicine ◽  
Principal Component ◽  
The Other ◽  
Chemical Composition Of Water ◽  
Different Types ◽  
Marker Compounds

In the present study, the chemical composition of water extracts of Chinese and Vietnamese cassia (Cinnamomum cassia) were compared using multivariate analysis of LC-MS data. By principal component analysis of the LC-MS data, 6 compounds, cinnzeylanine (1), cinnzeylanol (2), anhydrocinnzeylanol (3), cinncasinol A (4), epicatechin (5) and procyanidin B2 (6), were identified as the marker compounds to characterize Chinese and Vietnamese cassia. It was clarified that Chinese cassia contains relatively larger amounts of epicatechin and procyanidin B2. On the other hand, Vietnamese cassia is characterized by a relatively larger amount of diterpenes. As catechin derivatives and diterpenes have different types of activity, it is important to choose the cassia that best suits the product for which it is to be used, whether in food or in herbal medicine.

Evidence of pressure jump signatures linked to fast air-water displacement dynamics in macropores

2020 ◽  
Author(s):  
Jose Eugenio López Periago ◽  
Diego Soto Gomez ◽  
Marcos Paradelo
Keyword(s):  
Principal Component Analysis ◽  
Pore Pressure ◽  
Clustering Algorithms ◽  
Principal Component ◽  
High Sensitivity ◽  
Pressure Jump ◽  
Water Displacement ◽  
Pressure Oscillations ◽  
Different Types

<p>We present a method to identify the characteristics of pressure jumps in repeated pump-driven saturation and drainage cycles in packed sand columns, i.e.,  pore pressure from zero to -80 hPa. This method is based on the registration of pore pressure oscillations using high sensitivity and rapid response tensiometers. The pressure signals were processed to identify and extract the pressure waveforms read by two tensiometers simultaneously.  Then, the waveforms were classified by k-means clustering algorithms and principal component analysis. We obtained a classification of different types of pressure waveforms that are consistent throughout successive cycles of wetting and drainage cycles. This consistency can be associated with patterns of fast capillary displacements in macropores, and ultimately, to hydrodynamic features of the structure.</p>

scholarly journals Pemetaan Pengaruh Proses Pengolahan pada Kualitas Biji Kakao Menggunakan Metode Metabolik Profiling dengan GC/MS

REAKTOR ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 132
Author(s):  
Hana Nur Fitriana ◽  
Ronny Purwadi ◽  
Made Tri Ari Penia Kresnowati
Keyword(s):  
Principal Component Analysis ◽  
Metabolic Profiling ◽  
Principal Component ◽  
Component Analysis ◽  
Cocoa Bean ◽  
Cocoa Beans ◽  
Post Harvest ◽  
Cocoa Products ◽  
Different Types

Abstract MAPPING THE EFFECTS OF COCOA POST HARVEST PROCESSING ON COCOA BEAN QUALITY BY METABOLIC PROFILING METHOD USING GC/MS. The quality of cocoa is strongly effected by the implemented post harvest processes. The fermented cocoa beans is presumed to have higher quality than the unfermented ones, whereas roasting strongly affects the organoleptic quality of the cocoa products. However, what exactly differentiates those cocoa beans are not known yet. This research was foccused on the mapping of post harvest processing method on the quality of cocoa beans, using metabolic profiling method. Different types of cocoa bean samples, that were fermented, roasted, fermented and roasted, as well as unfermented and unroasted (as control) were analysed by GC-MS. The obtained metabolic profiles were further mapped using Principal Component Analysis (PCA). The results showed that there were significant different on samples processed through different processing methods. The fermentation and roasting of cocoa beans direct the process such that more homogenous metabolic composition were obtained. Kata kunci: cocoa beans; fermentation; metabolomic; PCA; processing; roasting  Abstract Proses pengolahan biji kakao sangat menentukan kualitas kakao yang dihasilkan. Biji kakao terfermentasi diyakini memiliki kualitas yang lebih tinggi dibandingkan biji kakao tanpa fermentasi. Proses penyangraian juga diyakini sangat menentukan kualitas organoleptik produk olahan kakao. Akan tetapi, para pelaku bisnis kakao masih belum mengetahui secara pasti apa yang membedakan hal tersebut. Penelitian ini berfokus pada pemetaan pengaruh proses pengolahan pada kualitas biji kakao, menggunakan metode metabolik profiling. Sampel biji kakao dengan berbagai proses pengolahan: difermentasi, disangrai, difermentasi dan disangrai, serta kontrol (tidak difermentasi dan tidak disangrai) dianalisa dengan GC/MS untuk memetakan komposisi metabolitnya. Spektrum metabolit yang diperoleh kemudian dipetakan menggunakan metode Principal Component Analysis (PCA). Hasil yang diperoleh menunjukkan terdapat perbedaan yang signifikan antara sampel dengan berbagai proses pengolahan tersebut, pengolahan biji kakao yang terdiri dari fermentasi dan penyangraian mengakibatkan komposisi biji kakao yang lebih seragam. Keywords: biji kakao; fermentasi; metabolomik; PCA; pemrosesan; penyangraian

scholarly journals Classification Performance Using Principal Component Analysis and Different Value of the Ratio R

2011 ◽  
Vol 6 (2) ◽  
pp. 317 ◽  
Author(s):  
Jasmina Novakovic ◽  
Sinisa Rankov
Keyword(s):  
Principal Component Analysis ◽  
Feature Extraction ◽  
Principal Component ◽  
Component Analysis ◽  
Classification Performance ◽  
Classification Algorithms ◽  
Data Sets ◽  
Best Value ◽  
Inherent Feature ◽  
Different Types

A comparison between several classification algorithms with feature extraction on real dataset is presented. Principal Component Analysis (PCA) has been used for feature extraction with different values of the ratio R, evaluated and compared using four different types of classifiers on two real benchmark data sets. Accuracy of the classifiers is influenced by the choice of different values of the ratio R. There is no best value of the ratio R, for different datasets and different classifiers accuracy curves as a function of the number of features used may significantly differ. In our cases feature extraction is especially effective for classification algorithms that do not have any inherent feature selections or feature extraction build in, such as the nearest neighbour methods or some types of neural networks.

Research on Hydrochemistrical Characteristics of Shallow Groundwater from Huainan City

2013 ◽  
Vol 726-731 ◽  
pp. 1367-1372 ◽  
Author(s):  
Xiao Wen He ◽  
Guang Quan Xu ◽  
Wei Ning Wang
Keyword(s):  
Heavy Metals ◽  
Principal Component Analysis ◽  
Shallow Groundwater ◽  
Principal Component ◽  
Component Analysis ◽  
Statistical Characteristics ◽  
Groundwater Samples ◽  
Different Types ◽  
Main Components

Based on previous studies, 130 shallow groundwater samples are collected from Huainan city according to some rules, and 21 indexes of the groundwater samples are tested by different instruments. Moreover, the important works have been done, including statistical characteristics of groundwater components, and divided different types of hydrochemistry, analyses of the relationships between the hardness and Ca2+/Na+, Mg2+/Na+, TDS and the ES. The correlation between heavy metals and conventional components has been discussed. Finally, main components have influence on the quality of shallow groundwater by the method of principal component analysis.

scholarly journals The Association of Parental Interest in Entrepreneurship with the Entrepreneurial Interest of Spanish Youth

2020 ◽  
Vol 17 (13) ◽  
pp. 4744 ◽  
Author(s):  
María-Isabel Luis-Rico ◽  
María-Camino Escolar-Llamazares ◽  
Tamara de la Torre-Cruz ◽  
Álvaro Herrero ◽  
Alfredo Jiménez ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Young People ◽  
Principal Component ◽  
Causal Factor ◽  
Family Influence ◽  
Entrepreneurial Ecosystem ◽  
Entrepreneurship Research ◽  
Family Culture ◽  
Family Types ◽  
Different Types

As entrepreneurial interest is believed to represent a causal factor increasing entrepreneurship, research has begun to explore how family systems affect youth entrepreneurial interests. In the present study, we attempt to identify different types of family influence on the entrepreneurial interests of young people. A questionnaire was used to obtain data from 1633 Spanish adolescents (15 to 18 years old) and another questionnaire was used to obtain data from 839 parents. Principal component analysis identified unique family types and revealed that they have differential associations to entrepreneurial interest among youth. These findings reaffirm the influence of family on the entrepreneurial ecosystem and the promotion of an entrepreneurial family culture. This study further suggests that early attention should focus on the detection of entrepreneurial interest among youth so that actions can be implemented in the families to incentivize an entrepreneurial family culture.

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